Might really be your sector. Claude is massive in my organization, with no one writing code by hand anymore. The biggest struggle is keeping up with what is being done, reviewing and understanding.
What has your code base ended up looking like? Is there a coherent abstraction hierarchy?
I keep checking back on LLMs every couple months and while they are now great for figuring out bugs in a system I don’t know much about (say in my use of a framework I’ve never used before), it’s been super helpful. But whenever I have it write a lot of code, even in a not huge project, it mostly works but it’s like a gum and popsicle stick machine gun and I’m scared of what large org code bases will look like in a few years.
As someone who makes heavy use of AI tools to write code I also find it surprising. The idea that even the latest models of Claude and Codex are capable of writing sufficiently useful and production usable code is baffling. Unless you are operating at extremely low stakes with few meaningful constraints I don't see how anyone can seriously rely fully on AI generated code. I see the code daily, it certainly can save some time when used properly but there are very hard limits to the amount of concepts that can be affirmatively managed before AI begins to tie itself in knots. The only solution AI is capable of from that point is of course generating more code to sort out any issues. "Hand" writing actual clear, concise and unbloated code is still very much a requirement.
Many companies are essentially forcing the use of it via raising the bar for performance by 10x(hyperbole). Yeah it’s not great everywhere and I’m sure there firms that aren’t as pushy.
Half the people I interview seem to have those AI interview helpers that just plug into the audio directly and give you realtime responses to questions that are asked. Plus they have it running on the same screen as the webcam so it’s near impossible to tell who is cheating.
The leetcode platforms, that we use, have the candidate on camera while they work on the take home but it’s the same problem. If they have ChatGPT on an alternate laptop it’s not recorded. Recently everyone seems to be getting 100% on every take home.
> Ask them to answer with their eyes closed?
These are senior and principal engineers that we want on our team. I fear being distrusting like this is a terrible first step and might dissuade them from joining.
